Prostate CancerNCT05443412
Artificial Intelligence (AI)-Assisted Risk-based Prostate Cancer Detection
An observational study of Prostate Cancer, run by Chinese University of Hong Kong at 1 site in Hong Kong.
Trial summary
This is a prospective clinical study recruiting 510 men at risk of PCa to undergo urine, blood, AI-assisted ultrasound and AI-assisted MRI investigations to stratify risk of clinically significant PCa (csPCa). (sample size calculation in section 5) Read more about this study
- Who is it for?
- Ages 18 years and older, men onlyHealthy volunteers can take part
- Conditions the study is for
- Prostate Cancer
- What is being tested?
- Diagnostic test for prostate cancer
- How many people
- 510 participants
- Where
- 1 siteHong Kong
- Study dates
- 1 Aug 2023to 30 Oct 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- Men only
- Healthy volunteers accepted
- Adult, Older adult
Study population: All consecutive men referred for elevated PSA 4-20 ng/mL
Who may be able to join
- Men ≥18 years of age
- Clinical suspicion of prostate cancer
- Serum Prostate-specific antigen (PSA) 4-20 ng/mL
- Digital rectal examination ≤ cT2 (organ confined cancer)
- Able to provide written informed consent
Who cannot join
- Prior prostate biopsy
- Past or current history of prostate cancer
- Contraindicated to undergo plain MRI scan (e.g. pacemaker in-situ, claustrophobia)
- Contraindicated to transperineal prostate biopsy: active urinary tract infection, fail TRUS probe insertion or lithotomy position, uncorrectable coagulopathy, antiplatelet or anticoagulant which cannot be stopped
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Hong Kong1 site, 1 recruiting
- Recruiting
Prince of Wales Hospital, Chinese University of Hong Kong
Hong Kong
Peter Ka-Fung CHIU, FRCS, PhD, 852-3505-2625, peterchiu@surgery.cuhk.edu.hk
About this study
Official title: Artificial Intelligence (AI)-Assisted Risk-based Prostate Cancer Detection: A Synergy of Novel Biomarkers, Advanced Imaging, and Robotic-assisted Diagnosis
This is a prospective clinical study recruiting 510 men at risk of PCa to undergo urine, blood, AI-assisted ultrasound and AI-assisted MRI investigations to stratify risk of clinically significant PCa (csPCa). (sample size calculation in section 5)
Read the detailed description
All recruited patients will undergo investigations including urine for spermine, blood for miRNA, TRUS, and MRI prostate. Patients with high suspicion of csPCa in any one step (urine, blood, ultrasound, OR MRI) will be offered an image-guided prostate biopsy. This will be followed by machine learning techniques to find the best combination in predicting csPCa.
- Conditions
- Prostate Cancer
- Being tested
- Diagnostic test for prostate cancer
- Medical subject headings
- Prostatic Neoplasms
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Diagnostic test for prostate cancerDiagnostic test
All recruited patients will undergo investigations including urine for spermine, blood for miRNA, TRUS, and MRI prostate. Patients with high suspicion of Clinically significant prostate cancer in any one step (urine, blood, ultrasound, OR MRI) will be offered an image-guided prostate biopsy.
What is being measured
The primary outcome is the main question the study is designed to answer.
Diagnosis of clinically significant Prostate cancer (csPCa); • csPCa is diagnosis of ISUP Grade group ≥2 prostate cancer in at least 1 biopsy core
Assessed by by machine learning algorithms utilizing clinical parameters, novel biomarkers and AI-assisted imaging
Measured: Through study completion, an average of 1 year
Secondary outcomes (4)
Diagnosis of any grade of prostate cancer
Assessed by prostate biopsy
Measured: Through study completion, an average of 1 year
Proportion of men with diagnosis of clinically insignificant prostate cancer
Assessed by prostate biopsy
Measured: Through study completion, an average of 1 year
Prostate biopsies that can be avoided
Assessed by using different machine learning algorithms
Measured: Through study completion, an average of 1 year
The concordance of AI-assisted TRUS & MRI diagnosis and biopsy outcomes
Assessed by using different machine learning algorithms and prostate biopsy result
Measured: Through study completion, an average of 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Jul 2022
- Study start1 Aug 2023
- Primary completion31 Jul 2026 (estimated)
- Study completion30 Oct 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (24)Papers the sponsor has linked to this study.
- Other trials for Prostate CancerStudies of the same condition, open and under way.
- More trials run by Chinese University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 510 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chinese University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, CHIU Ka Fung Peter, Chinese University of Hong Kong
- Investigators
- Peter Ka-Fung CHIU, FRCS, PhD, Principal investigator, Chinese University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05443412
- Sponsor's protocol ID
- CRE 2022.245
- Status last verified
- May 2025
- First submitted
- 22 Jun 2022
- Last updated
- 20 May 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Rawla P. Epidemiology of Prostate Cancer. World J Oncol. 2019 Apr;10(2):63-89. doi: 10.14740/wjon1191. Epub 2019 Apr 20.
PubMed 31068988Hugosson J, Roobol MJ, Mansson M, Tammela TLJ, Zappa M, Nelen V, Kwiatkowski M, Lujan M, Carlsson SV, Talala KM, Lilja H, Denis LJ, Recker F, Paez A, Puliti D, Villers A, Rebillard X, Kilpelainen TP, Stenman UH, Godtman RA, Stinesen Kollberg K, Moss SM, Kujala P, Taari K, Huber A, van der Kwast T, Heijnsdijk EA, Bangma C, De Koning HJ, Schroder FH, Auvinen A; ERSPC investigators. A 16-yr Follow-up of the European Randomized study of Screening for Prostate Cancer. Eur Urol. 2019 Jul;76(1):43-51. doi: 10.1016/j.eururo.2019.02.009. Epub 2019 Feb 26.
PubMed 30824296Chiu PK, Teoh JY, Chan SY, Chu PS, Man CW, Hou SM, Ng CF. Role of PSA density in diagnosis of prostate cancer in obese men. Int Urol Nephrol. 2014 Dec;46(12):2251-4. doi: 10.1007/s11255-014-0826-7. Epub 2014 Sep 9.
PubMed 25201460Chiu PK, Roobol MJ, Nieboer D, Teoh JY, Yuen SK, Hou SM, Yiu MK, Ng CF. Adaptation and external validation of the European randomised study of screening for prostate cancer risk calculator for the Chinese population. Prostate Cancer Prostatic Dis. 2017 Mar;20(1):99-104. doi: 10.1038/pcan.2016.57. Epub 2016 Nov 29.
PubMed 27897172Chiu PK, Ng CF, Semjonow A, Zhu Y, Vincendeau S, Houlgatte A, Lazzeri M, Guazzoni G, Stephan C, Haese A, Bruijne I, Teoh JY, Leung CH, Casale P, Chiang CH, Tan LG, Chiong E, Huang CY, Wu HC, Nieboer D, Ye DW, Bangma CH, Roobol MJ. A Multicentre Evaluation of the Role of the Prostate Health Index (PHI) in Regions with Differing Prevalence of Prostate Cancer: Adjustment of PHI Reference Ranges is Needed for European and Asian Settings. Eur Urol. 2019 Apr;75(4):558-561. doi: 10.1016/j.eururo.2018.10.047. Epub 2018 Nov 2.
PubMed 30396635Chiu PK, Roobol MJ, Teoh JY, Lee WM, Yip SY, Hou SM, Bangma CH, Ng CF. Prostate health index (PHI) and prostate-specific antigen (PSA) predictive models for prostate cancer in the Chinese population and the role of digital rectal examination-estimated prostate volume. Int Urol Nephrol. 2016 Oct;48(10):1631-7. doi: 10.1007/s11255-016-1350-8. Epub 2016 Jun 27.
PubMed 27349564Chiu PK, Teoh JY, Lee WM, Yee CH, Chan ES, Hou SM, Ng CF. Extended use of Prostate Health Index and percentage of [-2]pro-prostate-specific antigen in Chinese men with prostate specific antigen 10-20 ng/mL and normal digital rectal examination. Investig Clin Urol. 2016 Sep;57(5):336-42. doi: 10.4111/icu.2016.57.5.336. Epub 2016 Aug 31.
PubMed 27617315Ng CF, Chiu PK, Lam NY, Lam HC, Lee KW, Hou SS. The Prostate Health Index in predicting initial prostate biopsy outcomes in Asian men with prostate-specific antigen levels of 4-10 ng/mL. Int Urol Nephrol. 2014 Apr;46(4):711-7. doi: 10.1007/s11255-013-0582-0. Epub 2013 Oct 18.
PubMed 24136184Ng CF, Yeung R, Chiu PK, Lam NY, Chow J, Chan B. The role of urine prostate cancer antigen 3 mRNA levels in the diagnosis of prostate cancer among Hong Kong Chinese patients. Hong Kong Med J. 2012 Dec;18(6):459-65.
PubMed 23223645de la Taille A, Irani J, Graefen M, Chun F, de Reijke T, Kil P, Gontero P, Mottaz A, Haese A. Clinical evaluation of the PCA3 assay in guiding initial biopsy decisions. J Urol. 2011 Jun;185(6):2119-25. doi: 10.1016/j.juro.2011.01.075. Epub 2011 Apr 15.
PubMed 21496856Van Neste L, Hendriks RJ, Dijkstra S, Trooskens G, Cornel EB, Jannink SA, de Jong H, Hessels D, Smit FP, Melchers WJ, Leyten GH, de Reijke TM, Vergunst H, Kil P, Knipscheer BC, Hulsbergen-van de Kaa CA, Mulders PF, van Oort IM, Van Criekinge W, Schalken JA. Detection of High-grade Prostate Cancer Using a Urinary Molecular Biomarker-Based Risk Score. Eur Urol. 2016 Nov;70(5):740-748. doi: 10.1016/j.eururo.2016.04.012. Epub 2016 Apr 20.
PubMed 27108162Desai MM, Cacciamani GE, Gill K, Zhang J, Liu L, Abreu A, Gill IS. Trends in Incidence of Metastatic Prostate Cancer in the US. JAMA Netw Open. 2022 Mar 1;5(3):e222246. doi: 10.1001/jamanetworkopen.2022.2246.
PubMed 35285916Kasivisvanathan V, Rannikko AS, Borghi M, Panebianco V, Mynderse LA, Vaarala MH, Briganti A, Budaus L, Hellawell G, Hindley RG, Roobol MJ, Eggener S, Ghei M, Villers A, Bladou F, Villeirs GM, Virdi J, Boxler S, Robert G, Singh PB, Venderink W, Hadaschik BA, Ruffion A, Hu JC, Margolis D, Crouzet S, Klotz L, Taneja SS, Pinto P, Gill I, Allen C, Giganti F, Freeman A, Morris S, Punwani S, Williams NR, Brew-Graves C, Deeks J, Takwoingi Y, Emberton M, Moore CM; PRECISION Study Group Collaborators. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N Engl J Med. 2018 May 10;378(19):1767-1777. doi: 10.1056/NEJMoa1801993. Epub 2018 Mar 18.
PubMed 29552975Mottet N, van den Bergh RCN, Briers E, Van den Broeck T, Cumberbatch MG, De Santis M, Fanti S, Fossati N, Gandaglia G, Gillessen S, Grivas N, Grummet J, Henry AM, van der Kwast TH, Lam TB, Lardas M, Liew M, Mason MD, Moris L, Oprea-Lager DE, van der Poel HG, Rouviere O, Schoots IG, Tilki D, Wiegel T, Willemse PM, Cornford P. EAU-EANM-ESTRO-ESUR-SIOG Guidelines on Prostate Cancer-2020 Update. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol. 2021 Feb;79(2):243-262. doi: 10.1016/j.eururo.2020.09.042. Epub 2020 Nov 7.
PubMed 33172724Tsoi TH, Chan CF, Chan WL, Chiu KF, Wong WT, Ng CF, Wong KL. Urinary Polyamines: A Pilot Study on Their Roles as Prostate Cancer Detection Biomarkers. PLoS One. 2016 Sep 6;11(9):e0162217. doi: 10.1371/journal.pone.0162217. eCollection 2016.
PubMed 27598335
Study at a glance
From the registry record, last updated by the sponsor on 20 May 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Artificial Intelligence (AI)-Assisted Risk-based Prostate Cancer Detection: A Synergy of Novel Biomarkers, Advanced Imaging, and Robotic-assisted Diagnosis
- ClinicalTrials.gov ID
- NCT05443412
- Acronym / sponsor ID
- CRE 2022.245
- Conditions
- Prostate Cancer
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 510 participants (estimated)
- Lead sponsor
- Chinese University of Hong KongUniversity, hospital or other
- Study start
- 1 Aug 2023 (actual)
- Primary completion
- 31 Jul 2026 (estimated)
- Study completion
- 30 Oct 2026 (estimated)
- First posted
- 5 Jul 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This is a prospective clinical study recruiting 510 men at risk of PCa to undergo urine, blood, AI-assisted ultrasound and AI-assisted MRI investigations to stratify risk of clinically significant PCa (csPCa). (sample size calculation in section 5)
Detailed description
All recruited patients will undergo investigations including urine for spermine, blood for miRNA, TRUS, and MRI prostate. Patients with high suspicion of csPCa in any one step (urine, blood, ultrasound, OR MRI) will be offered an image-guided prostate biopsy. This will be followed by machine learning techniques to find the best combination in predicting csPCa.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- Male only
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- All consecutive men referred for elevated PSA 4-20 ng/mL
Key inclusion criteria (5 listed)
- Men ≥18 years of age
- Clinical suspicion of prostate cancer
- Serum Prostate-specific antigen (PSA) 4-20 ng/mL
- Digital rectal examination ≤ cT2 (organ confined cancer)
- Able to provide written informed consent
Key exclusion criteria (4 listed)
- Prior prostate biopsy
- Past or current history of prostate cancer
- Contraindicated to undergo plain MRI scan (e.g. pacemaker in-situ, claustrophobia)
- Contraindicated to transperineal prostate biopsy: active urinary tract infection, fail TRUS probe insertion or lithotomy position, uncorrectable coagulopathy, antiplatelet or anticoagulant which cannot be stopped
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Diagnostic test for prostate cancerAll recruited patients will undergo investigations including urine for spermine, blood for miRNA, TRUS, and MRI prostate. Patients with high suspicion of Clinically significant prostate cancer in any one step (urine, blood, ultrasound, OR MRI) will be offered an image-guided prostate biopsy. | Diagnostic test | – |
Primary outcome
Diagnosis of clinically significant Prostate cancer (csPCa); • csPCa is diagnosis of ISUP Grade group ≥2 prostate cancer in at least 1 biopsy core
Time frame: Through study completion, an average of 1 year
Assessed by by machine learning algorithms utilizing clinical parameters, novel biomarkers and AI-assisted imaging
4 secondary outcomes
Diagnosis of any grade of prostate cancer
Time frame: Through study completion, an average of 1 year
Proportion of men with diagnosis of clinically insignificant prostate cancer
Time frame: Through study completion, an average of 1 year
Prostate biopsies that can be avoided
Time frame: Through study completion, an average of 1 year
The concordance of AI-assisted TRUS & MRI diagnosis and biopsy outcomes
Time frame: Through study completion, an average of 1 year
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 May 2025.
- Background: PubMed 31068988Rawla P. Epidemiology of Prostate Cancer. World J Oncol. 2019 Apr;10(2):63-89. doi: 10.14740/wjon1191. Epub 2019 Apr 20.
- Background: PubMed 30824296Hugosson J, Roobol MJ, Mansson M, Tammela TLJ, Zappa M, Nelen V, Kwiatkowski M, Lujan M, Carlsson SV, Talala KM, Lilja H, Denis LJ, Recker F, Paez A, Puliti D, Villers A, Rebillard X, Kilpelainen TP, Stenman UH, Godtman RA, Stinesen Kollberg K, Moss SM, Kujala P, Taari K, Huber A, van der Kwast T, Heijnsdijk EA, Bangma C, De Koning HJ, Schroder FH, Auvinen A; ERSPC investigators. A 16-yr Follow-up of the European Randomized study of Screening for Prostate Cancer. Eur Urol. 2019 Jul;76(1):43-51. doi: 10.1016/j.eururo.2019.02.009. Epub 2019 Feb 26.
- Background: PubMed 25201460Chiu PK, Teoh JY, Chan SY, Chu PS, Man CW, Hou SM, Ng CF. Role of PSA density in diagnosis of prostate cancer in obese men. Int Urol Nephrol. 2014 Dec;46(12):2251-4. doi: 10.1007/s11255-014-0826-7. Epub 2014 Sep 9.
- Background: PubMed 27897172Chiu PK, Roobol MJ, Nieboer D, Teoh JY, Yuen SK, Hou SM, Yiu MK, Ng CF. Adaptation and external validation of the European randomised study of screening for prostate cancer risk calculator for the Chinese population. Prostate Cancer Prostatic Dis. 2017 Mar;20(1):99-104. doi: 10.1038/pcan.2016.57. Epub 2016 Nov 29.
- Background: PubMed 30396635Chiu PK, Ng CF, Semjonow A, Zhu Y, Vincendeau S, Houlgatte A, Lazzeri M, Guazzoni G, Stephan C, Haese A, Bruijne I, Teoh JY, Leung CH, Casale P, Chiang CH, Tan LG, Chiong E, Huang CY, Wu HC, Nieboer D, Ye DW, Bangma CH, Roobol MJ. A Multicentre Evaluation of the Role of the Prostate Health Index (PHI) in Regions with Differing Prevalence of Prostate Cancer: Adjustment of PHI Reference Ranges is Needed for European and Asian Settings. Eur Urol. 2019 Apr;75(4):558-561. doi: 10.1016/j.eururo.2018.10.047. Epub 2018 Nov 2.
- Background: PubMed 27349564Chiu PK, Roobol MJ, Teoh JY, Lee WM, Yip SY, Hou SM, Bangma CH, Ng CF. Prostate health index (PHI) and prostate-specific antigen (PSA) predictive models for prostate cancer in the Chinese population and the role of digital rectal examination-estimated prostate volume. Int Urol Nephrol. 2016 Oct;48(10):1631-7. doi: 10.1007/s11255-016-1350-8. Epub 2016 Jun 27.
- Background: PubMed 27617315Chiu PK, Teoh JY, Lee WM, Yee CH, Chan ES, Hou SM, Ng CF. Extended use of Prostate Health Index and percentage of [-2]pro-prostate-specific antigen in Chinese men with prostate specific antigen 10-20 ng/mL and normal digital rectal examination. Investig Clin Urol. 2016 Sep;57(5):336-42. doi: 10.4111/icu.2016.57.5.336. Epub 2016 Aug 31.
- Background: PubMed 24136184Ng CF, Chiu PK, Lam NY, Lam HC, Lee KW, Hou SS. The Prostate Health Index in predicting initial prostate biopsy outcomes in Asian men with prostate-specific antigen levels of 4-10 ng/mL. Int Urol Nephrol. 2014 Apr;46(4):711-7. doi: 10.1007/s11255-013-0582-0. Epub 2013 Oct 18.
- Background: PubMed 23223645Ng CF, Yeung R, Chiu PK, Lam NY, Chow J, Chan B. The role of urine prostate cancer antigen 3 mRNA levels in the diagnosis of prostate cancer among Hong Kong Chinese patients. Hong Kong Med J. 2012 Dec;18(6):459-65.
- Background: PubMed 21496856de la Taille A, Irani J, Graefen M, Chun F, de Reijke T, Kil P, Gontero P, Mottaz A, Haese A. Clinical evaluation of the PCA3 assay in guiding initial biopsy decisions. J Urol. 2011 Jun;185(6):2119-25. doi: 10.1016/j.juro.2011.01.075. Epub 2011 Apr 15.
- Background: PubMed 27108162Van Neste L, Hendriks RJ, Dijkstra S, Trooskens G, Cornel EB, Jannink SA, de Jong H, Hessels D, Smit FP, Melchers WJ, Leyten GH, de Reijke TM, Vergunst H, Kil P, Knipscheer BC, Hulsbergen-van de Kaa CA, Mulders PF, van Oort IM, Van Criekinge W, Schalken JA. Detection of High-grade Prostate Cancer Using a Urinary Molecular Biomarker-Based Risk Score. Eur Urol. 2016 Nov;70(5):740-748. doi: 10.1016/j.eururo.2016.04.012. Epub 2016 Apr 20.
- Background: PubMed 35285916Desai MM, Cacciamani GE, Gill K, Zhang J, Liu L, Abreu A, Gill IS. Trends in Incidence of Metastatic Prostate Cancer in the US. JAMA Netw Open. 2022 Mar 1;5(3):e222246. doi: 10.1001/jamanetworkopen.2022.2246.
- Individual participant dataSharing planned: No
Related trials for Prostate Cancer
Active, not recruitingPhase 2
Hormone Therapy and Intensity-Modulated Radiation Therapy in Treating Patients With Metastatic Prostate Cancer
PSA Level Greater Than Two, Stage IV Prostate Adenocarcinoma AJCC v7
RecruitingEarly Phase 1
FTT PET/CT in Metastatic Prostate Cancer
Prostate Cancer Metastatic
Enrolling by invitation
Use of Tracking Devices to Locate Abnormalities During Invasive Procedures
Adenocarcinoma, Prostate Neoplasms
RecruitingPhase 2
Terbinafine for Biochemically Recurrent Prostate Cancer (TerbinaPro)
Recurrent Prostate Cancer
RecruitingPhase 1/2
Study to Test the Safety and Tolerability of PF-07220060 in Participants With Advance Solid Tumors
Liposarcoma, Prostate Cancer
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Peter Ka-Fung CHIU, FRCS, PhD principal investigator
Chinese University of Hong Kong
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Prostate Cancer, run by Chinese University of Hong Kong at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 20 May 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Peter Ka-Fung CHIU, FRCS, PhD (35052625, peterchiu@surgery.cuhk.edu.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Diagnosis of clinically significant Prostate cancer (csPCa); • csPCa is diagnosis of ISUP Grade group ≥2 prostate cancer in at least 1 biopsy core (time frame: Through study completion, an average of 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05443412, which also lists 24 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 May 2025.